Chat with company policies, employee records, and code repos

One AI assistant answers questions by searching your company documents, employee database, and codebase.

How the work actually flows

It branches. Any that apply are taken.

Pattern: Multi-Choice (6) · Simple Merge (5)

flowchart TD trig(("employee asks a question")):::human s0(("receive question")):::human s1["search matching sources"]:::svc s2["reply with answer"]:::svc trig --> s0 s1 --> s2 gx{"○ which sources may apply"}:::gate s0 --> gx p00["search company documents"]:::task gx -->|"policy question"| p00 p10["query employee database"]:::task gx -->|"hr question"| p10 p20["search code repositories"]:::task gx -->|"code question"| p20 jn{"○ combine best answer"}:::gate p00 --> jn p10 --> jn p20 --> jn jn --> s1 out[/"direct answer from company systems"/]:::out pay{{"faster answers without searching manually"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
An outside serviceA personAny that applyPaths rejoinResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAGDocument Processing & OCRFile & Cloud Storage
Connects
Google DriveGitHubOpenAI

The problem it solves

Your team wastes time hunting through scattered policy documents, asking HR for employee details, or digging through code repositories to find what they need. New hires especially struggle to find answers on their own. You want one place where people can just ask and get the right answer.

Who it fits

IT companies and growing teams with policies, employee data, and code spread across multiple systems.

How it works

  1. Someone asks a question in the chat
  2. The AI searches company policy and code-of-conduct documents stored in Google Drive
  3. It also queries the employee database directly using natural language
  4. It can search your GitHub or GitLab repositories for relevant code
  5. The AI replies with an answer pulled from whichever source has it
What you get

Answers pulled from every company system at once

You can ask one assistant a question and get an answer pulled from your policies, employee records, or codebase instantly.

What you get

A direct answer to policy, HR, or code questions, pulled straight from your own systems.

What you need

Google Drive, a company database, and a GitHub or GitLab account, plus an OpenAI API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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